Researchers and policymakers alike are concerned about the risk of malicious actors weaponizing language models for automated disinformation; specifically, generating targeted propaganda in form of fake news articles which closely mimic the language and style of real news [1]}. Fake news contributes to the erosion of democracy, justice, and public trust [2]}, with several methods being developed for its detection [3]}, [1]}. News websites also vary in their factuality and media bias [5]}. Indiscriminately scraping for news without assessing media bias or factuality results in datasets which capture and reflect inherent media bias.
